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Entry Level Python Data Analysis Jobs in Lafayette, LA

Ethos Risk Services

Entry-Level Investigator

Lafayette, LA

$44K - $54K/yr

At the forefront of, we provide accurate data and actionable insights that translate into better ... Conduct preliminary investigations using social media and analyzing database research. * Field ...

Ethos Risk Services

Entry-Level Investigator

Lafayette, LA · On-site

$44K - $54K/yr

At the forefront of, we provide accurate data and actionable insights that translate into better ... Conduct preliminary investigations using social media and analyzing database research. * Field ...

Global Data Systems Inc.

IT Support Intern

Lafayette, LA · On-site

$14.25 - $19/hr

Description: The IT Support Intern is a supervised, entry-level learning position designed to ... operations at Global Data Systems (GDS). Working alongside experienced Service Desk staff ...

Global Data Systems Inc

IT Support Intern

Lafayette, LA

$14.25 - $19/hr

Description The IT Support Intern is a supervised, entry-level learning position designed to ... operations at Global Data Systems (GDS). Working alongside experienced Service Desk staff ...

Global Data Systems Inc

IT Support Intern

Lafayette, LA · On-site

$14.25 - $19/hr

The IT Support Intern is a supervised, entry-level learning position designed to introduce students ... operations at Global Data Systems (GDS). Working alongside experienced Service Desk staff ...

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Entry Level Python Data Analysis information

See Lafayette, LA salary details

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How much do entry level python data analysis jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for entry level python data analysis in Lafayette, LA is $31.44, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $35.14 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Lafayette, LA? The most popular types of Python Data Analysis jobs in Lafayette, LA are:
What are popular job titles related to Entry Level Python Data Analysis jobs in Lafayette, LA? For Entry Level Python Data Analysis jobs in Lafayette, LA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Lafayette, LA look for? The top searched job categories for Entry Level Python Data Analysis jobs in Lafayette, LA are:
What cities near Lafayette, LA are hiring for Entry Level Python Data Analysis jobs? Cities near Lafayette, LA with the most Entry Level Python Data Analysis job openings:
Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Lafayette, LA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,404 per year, or $31.4 per hour.

Healthcare Data Analyst (On-Site in Lafayette, LA)

FMOLHS

Lafayette, LA • On-site

Other

Re-posted 2 days ago

Job description

This role will be located on-site in Lafayette, LA.

The Healthcare Data Analyst 2 plays a crucial role in analyzing and interpreting complex health data to help improve patient outcomes, operational efficiency, and overall healthcare delivery within our health system. The ideal candidate will have advanced analytical skills, a strong understanding of healthcare data, and the ability to work collaboratively with various stakeholders across the organization.

Education: Bachelor's degree in Health Informatics, Data Science, Statistics, Public Health, Business/Healthcare Administration or a related field.

Experience: Minimum of 3 years of experience in healthcare data analysis or a related field including internship.

Technical Skills: Proficiency in data analysis tools and software, such as SQL, SAS, R, Python, or Tableau. Strong understanding of electronic health records (EHR) systems, healthcare databases, and data standards (e.g., ICD-10, CPT codes).

Analytical Skills: Advanced analytical and problem-solving skills. Ability to interpret complex data sets and provide meaningful insights.

Communication Skills: Excellent verbal and written communication skills. Ability to present data findings clearly and concisely to non-technical stakeholders.

Attention to Detail: Strong attention to detail and commitment to data accuracy and quality.

Team Player: Ability to work effectively in a collaborative, team-oriented environment.

Data Analysis and Reporting: Perform advanced data analysis to support clinical and operational decision-making. Generate comprehensive reports and data visualizations to communicate findings effectively.

Data Management: Ensure the accuracy, integrity, and security of healthcare data. Manage data extraction, transformation, and loading (ETL) processes.

Performance Metrics: Develop and monitor key performance indicators (KPIs) to assess the effectiveness of clinical and operational processes. Provide actionable insights to improve performance.

Research and Evaluation: Conduct research and evaluation projects to assess the impact of healthcare interventions and programs. Collaborate with clinical and administrative teams to design and implement studies.

Compliance and Standards: Ensure compliance with relevant regulations, standards, and best practices in healthcare data management and analysis.

Collaboration: Work closely with IT, clinical, and administrative teams to identify data needs and provide analytical support. Participate in cross-functional projects and initiatives.
 

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